Software Engineer - All Levels

About Genius AI

Genius AI is building technology to help local businesses run themselves. Genius AI products do the admin work that keeps practitioners from the work they love and the people they serve. From GlossGenius to Reception, its products work 24/7 on busywork like booking, marketing, client management, finances, staff and inventory management, and more.

Genius AI technology has saved businesses 106M in admin hours, earned them $2.0B in additional revenue, and facilitated more than 624M client touch points.

About the Role

Genius AI is building an agentic workforce: AI systems that act on behalf of appointment-based business owners, not just assist them. The engineers who join now will be the who architect it. We're hiring across two paths: product engineers who work at the intersection of AI capabilities and customer problems, shipping the features that put agentic tools directly in front of the businesses we serve; and platform engineers who build the scalable, reliable infrastructure that makes those AI products possible in the first place. Whichever path you're on, the expectation is the same: you build with AI as the default layer underneath how you work, not a tool you reach for occasionally.

What We Work With

We're open to engineers with different language backgrounds who are excited to grow

• Our current stack: - Kotlin (Micronaut, jOOQ), gRPC, protobuf

• TypeScript / JavaScript (React, Redux)
• React Native
• AWS, Kubernetes, Postgres, Terraform
• Linear

What You'll Do

• Architect and ship AI-powered features that change how service businesses operate: not wrappers around existing tools, but net-new capabilities that weren't possible before
• Build and maintain large-scale systems that process billions in payments and serve 120,000+ businesses, with reliability and performance as non-negotiables
• Use AI to architect, debug, write, and review code, and hold a higher bar for your own output because of it
• Own your work end to end: from technical design through production, with full accountability for what you ship and how it performs
• Build the platform infrastructure that lets product teams move faster: scalable, extensible systems that remove friction rather than create it
• Challenge how we build: when you see a faster path or a better architecture, you're expected to make the case and drive it

What We're Looking For

• 2+ years of professional software engineering experience, with demonstrated ownership of production systems, not just contributions to a team that owned them
• You use AI to architect, debug, write, and review code, and you've shipped AI-powered features or systems, not just used AI-assisted editors
• Move fast and make decisions: you don't wait for a fully scoped ticket to start thinking, you'd rather ship something real and iterate than spend weeks perfecting a plan
• Strong analytical instincts for efficiency, scalability, and system reliability, you think about what breaks at scale before it breaks in production
• Entrepreneurial ownership mindset, you treat the problems you're assigned as yours to solve, not tasks to complete
• Collaborative by default, you make the engineers around you better, not just the code you personally write

Benefits & Perks

• Competitive health & dental insurance options
• Flexible PTO
• Annual stipend for professional development and continued learning
• High performers at 5 years receive a $5,000 bonus to use however you recharge best
• Paid parental leave
• Fertility and adoption benefits via Carrot
• Local events - in-person gathering opportunities throughout the year for our distributed team

At Genius AI, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not our employees but our product, customers, and community as well. Genius AI is proud to be an Equal Opportunity and Affirmative Action Employer.

• 2+ years of professional software engineering experience, with demonstrated ownership of production systems, not just contributions to a team that owned them
• You use AI to architect, debug, write, and review code, and you've shipped AI-powered features or systems, not just used AI-assisted editors
• Move fast and make decisions: you don't wait for a fully scoped ticket to start thinking, you'd rather ship something real and iterate than spend weeks perfecting a plan
• Strong analytical instincts for efficiency, scalability, and system reliability, you think about what breaks at scale before it breaks in production
• Entrepreneurial ownership mindset, you treat the problems you're assigned as yours to solve, not tasks to complete
• Collaborative by default, you make the engineers around you better, not just the code you personally write